{"id":"https://openalex.org/W2251087757","doi":"https://doi.org/10.3115/v1/p14-5001","title":"Cross-Lingual Information to the Rescue in Keyword Extraction","display_name":"Cross-Lingual Information to the Rescue in Keyword Extraction","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251087757","doi":"https://doi.org/10.3115/v1/p14-5001","mag":"2251087757"},"language":"en","primary_location":{"id":"doi:10.3115/v1/p14-5001","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-5001","pdf_url":"https://aclanthology.org/P14-5001.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/P14-5001.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102837741","display_name":"Chung\u2010Chi Huang","orcid":"https://orcid.org/0009-0008-9246-9004"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chung-Chi Huang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077285164","display_name":"Maxine Esk\u00e9nazi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maxine Eskenazi","raw_affiliation_strings":["Language Technologies Institute, CMU, United States"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute, CMU, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109861718","display_name":"Jaime Carbonell","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jaime Carbonell","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029671916","display_name":"Lun\u2010Wei Ku","orcid":"https://orcid.org/0000-0003-2691-5404"},"institutions":[{"id":"https://openalex.org/I3141939062","display_name":"Institute for Information Industry","ror":"https://ror.org/01d8kr740","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I3141939062"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Lun-Wei Ku","raw_affiliation_strings":["Institute for Information Industry, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute for Information Industry, Taipei, Taiwan","institution_ids":["https://openalex.org/I3141939062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111458344","display_name":"Ping-Che Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping-Che Yang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102837741"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.818,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82069109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8680733442306519},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.755399227142334},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7375556230545044},{"id":"https://openalex.org/keywords/keyword-extraction","display_name":"Keyword extraction","score":0.6899194717407227},{"id":"https://openalex.org/keywords/keyword-density","display_name":"Keyword density","score":0.6298611164093018},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5990279912948608},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5914167761802673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5466024875640869},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4713537096977234},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4357547163963318},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4235311448574066},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.41998639702796936},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.21310389041900635},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08095714449882507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07586395740509033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8680733442306519},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.755399227142334},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7375556230545044},{"id":"https://openalex.org/C2780288562","wikidata":"https://www.wikidata.org/wiki/Q25053353","display_name":"Keyword extraction","level":2,"score":0.6899194717407227},{"id":"https://openalex.org/C57560718","wikidata":"https://www.wikidata.org/wiki/Q125627","display_name":"Keyword density","level":3,"score":0.6298611164093018},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5990279912948608},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5914167761802673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5466024875640869},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4713537096977234},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4357547163963318},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4235311448574066},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.41998639702796936},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.21310389041900635},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08095714449882507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07586395740509033},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/v1/p14-5001","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-5001","pdf_url":"https://aclanthology.org/P14-5001.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/v1/p14-5001","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/p14-5001","pdf_url":"https://aclanthology.org/P14-5001.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320336958","display_name":"Institute for Information Industry, Ministry of Science and Technology, Taiwan","ror":"https://ror.org/01d8kr740"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251087757.pdf","grobid_xml":"https://content.openalex.org/works/W2251087757.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1574901103","https://openalex.org/W1973406306","https://openalex.org/W2010484471","https://openalex.org/W2019987199","https://openalex.org/W2043004216","https://openalex.org/W2069870183","https://openalex.org/W2102775690","https://openalex.org/W2108459929","https://openalex.org/W2111538853","https://openalex.org/W2112324543","https://openalex.org/W2127246734","https://openalex.org/W2145766604","https://openalex.org/W2147707543","https://openalex.org/W2153653739","https://openalex.org/W2156985047","https://openalex.org/W2163659824","https://openalex.org/W2950090310","https://openalex.org/W4241645538"],"related_works":["https://openalex.org/W2026353382","https://openalex.org/W2197440050","https://openalex.org/W2795900462","https://openalex.org/W2265184183","https://openalex.org/W4312516753","https://openalex.org/W2010484471","https://openalex.org/W2619734252","https://openalex.org/W2546291456","https://openalex.org/W1993031820","https://openalex.org/W2078192001"],"abstract_inverted_index":{"We":[0,69],"introduce":[1],"a":[2,8],"method":[3,30,77],"that":[4,74,83],"extracts":[5],"keywords":[6,35],"in":[7,27],"language":[9,100],"with":[10,62],"the":[11,14,71,76],"help":[12],"of":[13],"other.":[15],"In":[16],"our":[17],"approach,":[18],"we":[19,49],"bridge":[20],"and":[21,39,59,93],"fuse":[22],"conventionally":[23],"irrelevant":[24],"word":[25,44,54,63,95],"statistics":[26,45,96],"languages.":[28],"The":[29],"involves":[31],"estimating":[32],"preferences":[33],"for":[34,43,66],"w.r.t.":[36],"domain":[37],"topics":[38],"generating":[40],"cross-lingual":[41,57,94],"bridges":[42],"integration.":[46],"At":[47],"run-time,":[48],"transform":[50],"parallel":[51],"articles":[52],"into":[53],"graphs,":[55],"build":[56],"edges,":[58],"exploit":[60],"PageRank":[61],"keyness":[64],"information":[65],"keyword":[67,79,84,91],"extraction.":[68],"present":[70],"system,":[72],"BiKEA,":[73],"applies":[75],"to":[78],"analysis.":[80],"Experiments":[81],"show":[82],"extraction":[85],"benefits":[86],"from":[87],"PageRank,":[88],"globally":[89],"learned":[90],"preferences,":[92],"interaction":[97],"which":[98],"respects":[99],"diversity.":[101]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}